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QoS-aware energy-efficient power control in two-tier femtocell networks based on Q-learning., , , , , и . ICT, стр. 313-317. IEEE, (2014)Network MIMO with decision tree classification in downlink OFDMA networks., , , , , и . ICT, стр. 22-26. IEEE, (2014)Deep learning-based multi-class COVID-19 classification with x-ray images., , , , и . Medical Imaging: Image-Guided Procedures, том 11598 из SPIE Proceedings, SPIE, (2021)Convolutional neural network based automatic plaque characterization for intracoronary optical coherence tomography images., , , , , , и . Medical Imaging: Image Processing, том 10574 из SPIE Proceedings, стр. 1057432. SPIE, (2018)Resource Management Based on Security Satisfaction Ratio with Fairness-Aware in Two-Way Relay Networks., , , , , и . IJDSN, (2015)Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with Transformers., , , , , , и . MICCAI (4), том 13434 из Lecture Notes in Computer Science, стр. 535-544. Springer, (2022)Automatic microscopic cell counting by use of unsupervised adversarial domain adaptation and supervised density regression., , , , и . Medical Imaging: Digital Pathology, том 10956 из SPIE Proceedings, стр. 1095604. SPIE, (2019)Learning numerical observers using unsupervised domain adaptation., , , и . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, том 11316 из SPIE Proceedings, стр. 113160W. SPIE, (2020)Deeply-Supervised Density Regression for Automatic Cell Counting in Microscopy Images., , , , и . CoRR, (2020)Automatic microscopic cell counting by use of deeply-supervised density regression model., , , , и . Medical Imaging: Digital Pathology, том 10956 из SPIE Proceedings, стр. 109560L. SPIE, (2019)